Abstract
Since the dynamics and forms of cyber violence evolve at the same rapid pace as technology platforms, we used social big data to develop an ontology for cyber violence victimization in South Korea. Following the seven-stage ontology development process, we extracted keywords from 3,075 social media data sources including online articles, comments, and blogs. Focus group interview data was also obtained from 40 adolescents and 5 cyber violence experts. The analysis identified domains for (1) participants subdivided by age, school level, sex, form, and relationship; (2) protective and risk factors by individuals, family, friends, school, community, and online systems; (3) types by form and method of violence; (4) characteristics by media and distinct features; (5) outcomes by individual and relational/social; and (6) interventions and policies by personal coping strategies, services/interventions, and laws/policies. These findings provide a multi-faceted perspective on cyber violence victimization experiences in South Korea. In addition, the results elucidate the newest types of cyber violence in real-life terms.
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